The overall objective of Enterprise Data Management is to enable the orchestration of people, process, and technology to deliver trusted, protected, high-quality data to data consumers faster. SLAC IT will establish new technology and processes to advance our data governance and data management capabilities and will continually improve those new capabilities through ongoing program management.
Currently, operational data is managed mostly at the system level or by department. Integrating data across systems and business data can be challenging due to different parameters or definitions. As a result, there is no single source of truth for operational data and data may be stale when it is used for decisions. Additionally, planned system modernizations also necessitate that we modernize our approach to data.
Advancing SLAC’s data strategy requires the maturity of two complementary disciplines: data governance and data management.
The enterprise data management program will accomplish several foundational initiatives to advance SLAC’s data management and data governance capabilities.
Define the strategy for enterprise data by assessing the current state of data practices and create a comprehensive roadmap for advancing our data maturity.
The Enterprise Data Governance Board is composed of data officers and stewards from across SLAC who have planning, policy-level, and management responsibility for data within their functional areas. The board enables decision-making about SLAC’s administrative data assets through the creation of standards and practices pertaining to data. The primary goal of the Board is to establish an environment in which data is high-quality, trusted, authoritative, appropriately protected, and used as a critical asset in decision-making and operations.
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The target architecture will integrate disparate data sources and enable the end-to-end management of data, including the enforcement of data governance standards and policies. A key feature is a centralized data catalog where data definitions and business rules are configured, enabling a common understanding of SLAC business data and automating discovery and classification of data. The governed data will then be made available for analysis and reporting by the right end users. Data use cases will be prioritized by SLAC business leaders and onboarded in multiple phases.
Key deliverables include:
| ROLE | MEMBER(S) · VPN required |
|---|---|
Primary POC · Program Manager | |
Project Manager | Project planning | |
BI Manager · BI Community | |
| SLAC Enterprise Data Governance Board | Establish standards and practices surrounding the use of data | Ashlee Miller | Chair Stephen Hanna Isabella Parkinson Mark McCullough Eric Shupert Connie Morimoto-Yu Analisa Tan |
Data Maturity Assessment and Data Governance Roadmap
Technical proof of concept and demo
Launch Enterprise Data Governance Board
Go-live with priority use cases in data management tooling
Refine roadmap and onboard more data sources
